Subvocalized speech recognition

1. A system for subvocalized speech recognition, the system comprising: a plurality of sensors coupled to a near-eye display (NED) configured to capture non-audible and subvocalized commands provided by a user wearing the NED, the plurality of sensors comprising an air microphone, a camera, and a non-audible murmur (NAM) microphone, the camera oriented toward a mouth of the user and configured to: generate one or more video signals from capturing a profile view of lips of the user, and detect a non-audible speech based on movement of the lips in the one or more video signals, the NAM microphone configured to: sit against a skin behind an ear of the user, and measure vibrations in the skin during a mouthed subvocalized speech by the user; a controller interfaced with the plurality of sensors configured to combine data acquired by all the sensors; and a processor coupled to the controller, the processor configured to: extract one or more features from the combined data, compare the one or more extracted features with a pre-determined set of commands, determine a command of the user based on the comparison, the command provided by the user to the NED as a whisper in a subvocalized manner, and provide the command to the NED for operating the NED, the NED being a part of an artificial reality system and the commands are directed at the artificial reality system.

2. The system of claim 1 , wherein the plurality of sensors further comprising an in-ear proximity sensor.

3. The system of claim 1 , wherein the camera is integrated in a frame of the NED in proximity of the mouth for capturing images of the lips.

4. The system of claim 2 , wherein the in-ear proximity sensor is located inside an ear canal of the ear.

5. The system of claim 4 , wherein the in-ear proximity sensor is coupled to a frame of the NED and is configured to measure one or more deformations of the ear canal when the user moves a jaw during the non-audible speech.

6. The system of claim 1 , wherein the NAM microphone is coupled to a frame of the NED.

7. The system of claim 1 , wherein the processor is further configured to perform a frame-based classification to classify a sequence of the combined data into the command based on the extracted one or more features.

8. The system of claim 1 , wherein the processor is further configured to perform a sequence-based classification to classify a sequence of the combined data into the command based on a hidden Markov model associated with the extracted one or more features.

9. The system of claim 1 , wherein the processor is further configured perform a sequence-to-sequence phoneme classification to classify a sequence of the combined data into the command based on an acoustic model and a language model.

10. The system of claim 9 , wherein the acoustic model is configured as a recurrent neural network.

11. The system of claim 9 , wherein the language model is trained using an n-gram model.

12. The system of claim 9 , wherein the processor is further configured to: run the acoustic model to map the sequence of the combined data into a phoneme sequence; and map the phoneme sequence into the command using the language model.

13. A system configured to: acquire, by a plurality of sensors coupled to a near-eye display (NED), data with features related to non-audible and subvocalized commands provided by a user, the plurality of sensors comprising an air microphone, a camera, and a non-audible murmur (NAM) microphone, the camera oriented toward a mouth of the user and configured to: generate one or more video signals from capturing a profile view of lips of the user, and detect a non-audible speech based on movement of the lips in the one or more video signals, the NAM microphone configured to: sit against a skin behind an ear of the user, and measure vibrations in the skin during a mouthed subvocalized speech by the user; combine data acquired by all the sensors; perform feature extraction on the combined data based on machine learning to determine a command of the user, the command provided by the user to the NED as a whisper in a subvocalized manner; and provide the commands to an artificial reality system for operating the artificial reality system, the NED being a part of the artificial reality system.

14. The system of claim 13 , wherein the plurality of sensors further comprising an in-ear proximity sensor.

15. The system of claim 13 , wherein the camera is integrated in a frame of the NED in proximity of the mouth for capturing images of the lips.

16. The system of claim 14 , wherein the in-ear proximity sensor is configured to measure one or more deformations of an ear canal of the ear when the user moves a jaw during the non-audible speech.

17. The system of claim 13 , wherein the system is further configured to perform a sequence-based classification to classify a sequence of the combined data into the command based on a hidden Markov model associated with the extracted features of the combined data.

18. The system of claim 13 , wherein the system is further configured perform a sequence-to-sequence phoneme classification to classify a sequence of the combined data into the command based on an acoustic model and a language model.